Abstract: Highlights•an image alignment module for the semantic segmentation network.•an alignment network that utilizes static loss to enhance the supervision capability of static objects in nighttime images.•an image blending method that focus on improving the segmentation performance of dynamic object categories.•combineing local and global image features during the testing phase,•Extensive experiments demonstrate the effectiveness of our framework
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